import numpy as np


def convolve(f, g):
  fft_len = 1
  while 2 * fft_len < len(f) + len(g) - 1:
    fft_len *= 2
  fft_len *= 2
  Ff = np.fft.rfft(np.array(f, np.int64), fft_len)
  Fg = np.fft.rfft(np.array(g, np.int64), fft_len)
  Fh = Ff * Fg
  h = np.fft.irfft(Fh, fft_len)
  h = np.rint(h).astype(np.int64)
  return h[:len(f) + len(g) - 1]


n, m, x = map(int, input().split())
c = list(map(int, input().split()))
color = [[0] * n for _ in range(5)]
point = [[0] * n for _ in range(5)]
for i in range(n):
  color[c[i] - 1][i] += 1
for _ in range(m):
  a, b, y = map(int, input().split())
  point[b - 1][n - a] += y

score_f = [convolve(color[i], point[i])[n - 1:] for i in range(5)]
score = [
  score_f[0][i] + score_f[1][i] + score_f[2][i] + score_f[3][i] + score_f[4][i]
  for i in range(n)]

ans = x * n
for i in range(n):
  ans = max(ans, i * x + score[i])
print(ans)